2. Eagle for Genome-Wide Association Mappin- The Eagle package is an implementation of multiple-locus association mapping on a genome-wide scale. It can handle inbred or outbred study populations, populations of arbitrary unknown complexity, and data larger than the memory capacity of the computer.

3. rgl: 3D visualization support- rgl is a 3D visualization system based on OpenGL. It provides a medium to high level interface for use in R, currently modelled on classic R graphics, with extensions to allow for interaction.

8. Automated phenological analyses- Automated processing of webcam images for phenological classification: With the present R package, regions of interest on given webcam images can be defined with low manual effort containing pixels with high phenological information.

10. Test for point containment in polyhedron- This project provides a function to test whether a point is contained within a closed three-dimensional polyhedron, defined by a triangular mesh. A two-dimensional version for polygons is also provided.

15. TreeHotspots- Classification trees can identify multiple clusters at many different scales at various angles.
We find &quot;hotspots&quot;, i.e. regions of high and low densities or rates w.r.t. some baseline.

16. seriation - Infrastructure for seriation- Infrastructure for seriation with an implementation of several seriation/sequencing techniques to reorder matrices, dissimilarity matrices, and dendrograms. Seriation is now maintained on githup at http://github.com/mhahsler/seriation

17. Animal- The Animal package is intended as tool for analyzing time coded behavioral observation and other ethological data. The project aims to promote the use of R in the the animal sciences and to provide easy to use functions for the researches in the field.

18. GWAtoolbox- An R-package implemented for genome-wide association studies. The main feature is very vast quality check of data before meta-analysis. It provides an extensive list of quality statistics presented using easy-to-use DHTML and graphical outputs.

19. SpatialExtremes- The SpatialExtremes package aims to develop tools for the modeling of spatial extremes. The knowledge of the univariate/multivariate distribution of extremes is not enough. This package will try to fill this gap.